Instructions to use ForserX/instruct-pix2pix-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ForserX/instruct-pix2pix-onnx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ForserX/instruct-pix2pix-onnx", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00a41a8e1ac7fc0e48ca33f20c82d7910476254c255cd7136420a27b084fde1b
- Size of remote file:
- 247 MB
- SHA256:
- 8f34e5ee561cba4d0624a1845f7e06d7fda6c8ca27741c1e75f291ae6991bbc7
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